Building AI Agents with Python

Artificial intelligence is evolving from simple chatbots into autonomous agents that can plan, use tools, and solve complex problems. Understanding how to build these agents is one of the most valuable skills in modern software development. This text-based course guides you through the foundational concepts of AI agent engineering. You will transition from writing basic Python scripts to architecting autonomous systems that can interact with external data sources, make decisions, and execute tasks independently. What you'll learn: Understand the core architecture of autonomous AI agents and decision-making loops; Apply prompt engineering techniques to guide agent behavior and reasoning; Configure agents to interact with external APIs and tools using function calling; Implement Retrieval-Augmented Generation (RAG) to connect agents with vector databases; Practice writing clean, modern Python code to manage agent state and memory; Design basic multi-agent workflows to solve multi-step problems. The journey begins with essential AI terminology and basic agent concepts before moving into step-by-step written tutorials on tool integration, memory management, and orchestration. You will read detailed code explanations and complete practical written exercises to reinforce your learning. This course is designed for beginners and developers who have a basic understanding of Python and want to enter the field of AI engineering. No prior machine learning or AI experience is required. Start reading today to build your first autonomous AI agent from scratch.